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Grok 4.5

xai/grok-4.5

xAI's latest Grok for chat, coding, agentic tools, and lower hallucination risk

Input modalitiesT
Output modalitiesT
Source-linkedgrokClosed weightsReleased 2026-07-08
Report data
Context window500K
Maximum output500K
Provider offers9
Knowledge cutoffUndisclosed
Capabilities

What this model supports

ReasoningYes
Tool callingYes
Structured outputYes
AttachmentsYes
Temperature controlYes
Open weightsNo
Creator
xAI
Family
grok
Modalities
Image, Text
License
Not documented
Release date
2026-07-08
Model ID
xai/grok-4.5
Market availability

Provider pricing

Report price →
Providers offering Grok 4.5
ProviderProvider model IDContextInput / 1MOutput / 1MCached / 1MFeaturesAll pricing
OpenRouter logoOpenRouterx-ai/grok-4.5500K$2 if offer.cost.input is defined else '—'}}$6 if offer.cost.output is defined else '—'}}$0.5 if offer.cost.cache_read is defined else '—'}}R T S
View
{
  "cache_read": 0.5,
  "context_over_200k": {
    "cache_read": 1,
    "input": 4,
    "output": 12
  },
  "input": 2,
  "output": 6,
  "tiers": [
    {
      "cache_read": 1,
      "input": 4,
      "output": 12,
      "tier": {
        "size": 200000,
        "type": "context"
      }
    }
  ]
}
DaoXE logoDaoXEgrok-4.5500K$2 if offer.cost.input is defined else '—'}}$6 if offer.cost.output is defined else '—'}}$0.5 if offer.cost.cache_read is defined else '—'}}R T S
View
{
  "cache_read": 0.5,
  "input": 2,
  "output": 6
}
Vercel AI Gateway logoVercel AI Gatewayxai/grok-4.5500K$2 if offer.cost.input is defined else '—'}}$6 if offer.cost.output is defined else '—'}}$0.5 if offer.cost.cache_read is defined else '—'}}R T S
View
{
  "cache_read": 0.5,
  "input": 2,
  "output": 6
}
ZenMux logoZenMuxx-ai/grok-4.5500K$2 if offer.cost.input is defined else '—'}}$6 if offer.cost.output is defined else '—'}}$0.5 if offer.cost.cache_read is defined else '—'}}R T S
View
{
  "cache_read": 0.5,
  "context_over_200k": {
    "cache_read": 1,
    "input": 4,
    "output": 12
  },
  "input": 2,
  "output": 6,
  "tiers": [
    {
      "cache_read": 1,
      "input": 4,
      "output": 12,
      "tier": {
        "size": 200000,
        "type": "context"
      }
    }
  ]
}
LLM Gateway logoLLM Gatewaygrok-4-5500K$2 if offer.cost.input is defined else '—'}}$6 if offer.cost.output is defined else '—'}}$0.5 if offer.cost.cache_read is defined else '—'}}R T ·
View
{
  "cache_read": 0.5,
  "input": 2,
  "output": 6
}
Abacus logoAbacusgrok-4.5500K$2 if offer.cost.input is defined else '—'}}$6 if offer.cost.output is defined else '—'}}$0 if offer.cost.cache_read is defined else '—'}}R T S
View
{
  "input": 2,
  "output": 6
}
xAI logoxAIgrok-4.5500K$2 if offer.cost.input is defined else '—'}}$6 if offer.cost.output is defined else '—'}}$0.5 if offer.cost.cache_read is defined else '—'}}R T S
View
{
  "cache_read": 0.5,
  "context_over_200k": {
    "cache_read": 1,
    "input": 4,
    "output": 12
  },
  "input": 2,
  "output": 6,
  "tiers": [
    {
      "cache_read": 1,
      "input": 4,
      "output": 12,
      "tier": {
        "size": 200000,
        "type": "context"
      }
    }
  ]
}
OpenCode Zen logoOpenCode Zengrok-4.5500K$2 if offer.cost.input is defined else '—'}}$6 if offer.cost.output is defined else '—'}}$0.5 if offer.cost.cache_read is defined else '—'}}R T S
View
{
  "cache_read": 0.5,
  "context_over_200k": {
    "cache_read": 1,
    "input": 4,
    "output": 12
  },
  "input": 2,
  "output": 6,
  "tiers": [
    {
      "cache_read": 1,
      "input": 4,
      "output": 12,
      "tier": {
        "size": 200000,
        "type": "context"
      }
    }
  ]
}
Venice AI logoVenice AIgrok-4-5500K$2.27 if offer.cost.input is defined else '—'}}$6.8 if offer.cost.output is defined else '—'}}$0.57 if offer.cost.cache_read is defined else '—'}}R T S
View
{
  "cache_read": 0.57,
  "context_over_200k": {
    "cache_read": 1.13,
    "input": 4.53,
    "output": 13.6
  },
  "input": 2.27,
  "output": 6.8,
  "tiers": [
    {
      "cache_read": 1.13,
      "input": 4.53,
      "output": 13.6,
      "tier": {
        "size": 200000,
        "type": "context"
      }
    }
  ]
}
Evidence

Published benchmark results

DeepSWE vs top 5 models
GPT-5.6 Sol
72.7
GPT-5.6 Terra
69.6
GPT-5.6 Luna
67.2
Grok 4.5
62.0
Muse Spark 1.1
53.3
SWE-Bench Multilingual vs top 7 models
Ornith 1.0 397B
78.9
Claude Sonnet 5
78.3
Qwen3.7 Max
78.3
Grok 4.5
78.0
LongCat-2.0
77.3
Ornith 1.0 35B
69.3
Nemotron 3 Ultra 550B A55B
67.7
SWE-Bench Pro vs top 7 models
Claude Fable 5
80.3
Claude Opus 4.8
69.2
Grok 4.5
64.7
GPT-5.6 Sol
64.6
Claude Opus 4.7
64.3
GPT-5.6 Terra
63.4
Claude Sonnet 5
63.2
Terminal-Bench vs top 7 models
GPT-5.6 Sol
88.8
Claude Fable 5
88.0
GPT-5.6 Terra
87.4
GPT-5.6 Luna
84.7
Grok 4.5
83.3
GPT-5.5
82.7
Muse Spark 1.1
80.0